More revenue cycle throughput, without another integration project.
Every operations request lands in your queue, every vendor adds an access review, and every automation you approve becomes yours to keep alive. We built this engagement for analytics, IT, digital transformation, and automation leaders: work runs inside systems you already govern, automation arrives managed and monitored, and reporting reconciles to your definitions rather than competing for authority.
7 of top 20
U.S. health systems served
32M+
Coding charts processed annually
28M+
A/R claims managed annually
Designed for the people who have to live with the technology.
Analytics, IT, Digital Transformation, and Automation leaders operate across EHRs, clearinghouses, payer connections, data platforms, workflow tools, security controls, and revenue cycle operations. Pilots can look promising while integrations, data quality, exceptions, adoption, and ownership remain unresolved. When technology sits beside the workflow instead of inside it, teams inherit more alerts, dashboards, and manual reconciliation instead of better outcomes. We supply certified operational capacity and the RevAmp platform on top of that foundation, so the revenue cycle gets throughput and intelligence while your architecture and security posture stay intact.
Build for the production environment
Automation that arrives with its own upkeep
Prove value through adoption
Technology-enabled support across the workflows you are transforming.
Front-office, mid-office, and back-office services provide the operating context, practitioners, data, and exceptions required to move automation from concept to production. Access, data, and change management run on your policies from day one.
Front-office
Rules-driven intake work automated first - human effort saved for exceptions.
- Patient Access Management
- Eligibility and Benefits Verification
- Prior Authorization
- Registration QA and Demographic Accuracy
- Insurance Discovery and Coverage Discovery
- Financial Clearance and Counseling
- Price Transparency and Patient Estimates
Mid-office
AI-assisted coding under governance - throughput without model risk surprises.
- Medical Coding
- Clinical Documentation Integrity (CDI)
- Charge Capture Optimization
- Revenue Integrity and Leakage Prevention
- Coding Audits and Quality Assurance
- Risk Adjustment and HCC Coding
- Computer-Assisted and AI-Enabled Coding
Back-office
Work sequenced by algorithmic priority - effort tracing to measurable return.
- Claims Editing and Clean-Claim Validation
- Denials Management and Appeals
- Accounts Receivable Follow-Up
- Complex AR Recovery
- Underpayment Recovery and Payer Variance Resolution
- Payment Posting and Reconciliation
- Extended Business Office and Co-Managed Operations
Four wins for operations. Zero new technical debt for you.
Automation throughput
Claims Editing and Clean-Claim Validation · Computer-Assisted and AI-Enabled Coding - so routine volume moves without human touches and the exceptions arrive labeled for judgment.
Metric integrity
Revenue Integrity and Leakage Prevention · Coding Audits and Quality Assurance · Medical Coding - so the numbers operations reports and the numbers finance books reconcile without a referee.
Time to value
Extended Business Office and Co-Managed Operations · Accounts Receivable Follow-Up - so capacity lands on existing rails and shows value before a build project would have kicked off.
Analytics workload
Underpayment Recovery and Payer Variance Resolution · Complex AR Recovery - so variance hunting, denial analytics, and payer pattern work stop consuming your analysts' calendar.
One operating model. Three pillars. Every engagement.
Expertise-led
Operators who respect an access policy as much as a deadline.
- Certified revenue cycle teams working under your identity controls
- Automation engineers who own the bots they deploy
- A named lead fluent in both operations and your change process
Technology-powered
RevAmp reads from your systems and returns prioritization, flags, and proof.
- Worklist intelligence delivered inside your existing queues
- Exception handling designed, documented, and monitored
- Feeds and extracts that land in your warehouse, your format
Operationally-governed
Change-managed like software, governed like a department.
- Monthly reviews covering outcomes and the tech behind them
- Automation performance published: coverage, exceptions, drift
- Access recertified and logged on your review calendar
Our Vision
Open Accountability: Taking responsibility without taking control.
You keep architecture authority, security standards, data governance, systems, access controls, and decision rights. We take responsibility for the workflows, integrations, automation, analytics, and outcomes we agree to own. Rules, exceptions, human review, adoption, incidents, and performance stay visible. Renewal is earned through results, not dependence.
Automation coverage
Share of routine transactions handled without a touch
Exception rate
Automated work kicked back for human handling
Definition parity
Our reporting matched to your warehouse definitions
IT lift
Hours your teams spend supporting the engagement
Access compliance
Provisioning, reviews, and removal on your policy clock
Why Us
Replace pilot accumulation with First-Pass Performance.
When technology is evaluated by launch activity instead of operational outcomes, pilots multiply while users work around them. First-Pass Performance ties each use case to the defect it should prevent, the workflow it changes, the exceptions it creates, and the outcome it must improve.
Rework-Powered Cleanup Machine
Our First-Pass Performance
Use-case selection
Projects begin with a tool or feature looking for a process.
Use cases begin with a defined defect, workflow, user, baseline, and outcome.
Integration
Point solutions add handoffs, files, and reconciliation outside the core workflow.
Integration and data movement are designed with ownership, controls, and exception paths.
Automation
Straight-through rates look strong while manual exception work expands elsewhere.
Automation performance includes eligibility, exceptions, fallback, quality, and downstream impact.
Adoption
Deployment is counted as success even when users work around the new process.
Role-based adoption, feedback, support, and workflow usage are governed alongside outcomes.
Accountability
Technology and operations report activity while outcome ownership stays unclear.
Agreed work has a named owner, shared measures, governance cadence, and visible corrective action.
Extend performance across connected outcomes.
Revenue cycle thinking for leaders who need fewer surprises.
Explore Vee Healthtek perspectives on the forces reshaping revenue cycle performance, healthcare operations, technology adoption, and financial resilience.
Bring one transformation use case. Leave with a clearer production path.
Use a 30-minute working session to examine one issue such as fragmented data, manual exception work, automation that has stalled, inconsistent analytics, integration risk, weak adoption, or unclear ROI. Bring the workflow, architecture, queue, dashboard, or KPI that concerns you. We will map the operating problem, dependencies, ownership, controls, and measures required for production.
Frequently Asked Questions
How can technology-enabled revenue cycle support fit into your existing architecture?

Support can begin with one use case, integration, queue, payer workflow, backlog, or transformation priority. You retain architecture, security, data governance, access, platform, and decision authority.
Which revenue cycle workflows can you support with analytics and automation?

Approved services span front-office, mid-office, and back-office workflows including eligibility, authorization, registration quality, coding, claim validation, payment posting, denials, underpayments, and A/R follow-up.
How do you move a revenue cycle automation use case from pilot to production?

We define the workflow, users, data, integration, rules, exceptions, controls, fallback, training, support, baseline, and outcome before production. Deployment is governed through adoption, quality, exceptions, incidents, and KPI movement.
How do you approach AI governance in revenue cycle operations?

Governance should make data sources, rules or recommendations, user actions, human review, exceptions, access, change history, performance, and escalation visible. Your organization retains policy, security, compliance, and approval authority.
How do you prevent automation from shifting work to another queue?

The use case is measured across the full workflow, including eligibility, straight-through completion, exceptions, manual touches, fallback, downstream defects, and outcome impact. Exception work receives an explicit owner and capacity plan.
How do you work with existing EHR and revenue cycle systems?

The operating approach defines approved integration and data pathways, required inputs and outputs, ownership, timing, validation, security, error handling, and support. Final architecture depends on your systems and standards.
Which analytics and automation KPIs can we govern together?

Measures can include adoption, eligible volume, straight-through completion, exception rate, manual touches, data quality, cycle time, accuracy, productivity, incident volume, fallback, user completion, and the revenue cycle outcome tied to the use case.
What should you bring to an initial working session?

Bring one use case and the information you already use to manage it, such as a workflow, architecture view, integration map, queue, dashboard, data-quality issue, exception report, adoption signal, or KPI baseline.